Paper Info
Title
Opportunities of innovation under challenges of big data
Abstract
Currently, in the age of big data, data growth features are delineated as being four-dimensional: huge amounts of data, wide ranging data types, sparse density of data values, and data increasing at a fast rate. All of these four divisions will challenge the data set with aspects of data capture, storage, management, analysis and visualization. Furthermore, big data also provides opportunities in companies as they address the challenges of data storage costs, efficiency of data management, and data security. This paper begins with an introduction to big data and innovation, as well as the challenges of big data. Beyond this, opportunities for innovation are described in detail and viewed from the perspective of technologies, i.e., MapReduce, Information Integration, Data Visualization and Personalized Recommendations.
Year
DOI
Venue
2013
10.1109/FSKD.2013.6816280
FSKD
Keywords
Field
DocType
data types,mapreduce,big data,information integration,data security,visualiaztion,data analysis,recommendation,data growth features,data visualisation,innovation,personalized recommendations,data values,data visualization,data storage costs,data management,data integration,data capture,information management,data handling,data set,internet
Data science,Data warehouse,Data architecture,Data visualization,Data quality,Computer science,Data proliferation,Data virtualization,Big data,Enterprise data management
Conference
Citations 
PageRank 
References 
3
0.51
4
Authors
3
Name
Order
Citations
PageRank
Jinsong Zhang1261.81
Yan Chen216323.47
Taoying Li3184.68